DatriseAI-first ETL

Monday.com Databricks SQL Warehouse

AI-first ETL from Monday.com into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Monday.com into Databricks SQL Warehouse

Datrise syncs Monday.com's boards, items, groups, status timelines, automations, and owner activity into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.

Ideal for lakehouse analytics and ML feature tables on Databricks.

Endpoints

Monday.com: Work OS for CRM, projects, and workflows.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How Monday.com entities map to Databricks SQL Warehouse

Monday.com entityDatabricks SQL Warehouse objectNotes
boardsmonday_boardsid PK · custom fields → VARIANT or STRUCT columns
itemsmonday_itemsid PK · linked to monday_boards
groupsmonday_groupsid PK · linked to monday_boards
status timelinesmonday_status_timelinesTIMESTAMP events

FAQ

How does Datrise handle Monday.com's custom fields in Databricks SQL Warehouse?

Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.

How does the Monday.com to Databricks SQL Warehouse sync stay up to date?

It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.

Related pipelines

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